Every 📧

The only subscription you need to stay at the edge of AI. Ideas and apps: @TrySpiral @CoraComputer @SparkleApp @usemonologue

[Every 📧 @every]

AI progress creates more work for humans, not less. Dive into our new report from @danshipper — and use the companion repo to read it with your agent 👇

[Dan Shipper 📧 @danshipper]

We’ve automated every single thing we can @every with AI agents.

And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.

I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand for experts, and why the dynamic only intensifies as we approach AGI.

After Automation: https://t.co/Lb7SUCduAg

[Every 📧 @every]

Full writeup: https://t.co/yw1wii5q42

[Every 📧 @every]

Our Opus 4.8 pulse check after another week of testing:

[Dan Shipper 📧 @danshipper]

I bought Figma stock during the SaaSpocalypse panic. Talking to @mcolyer, Figma's director of product management for developers, made me wish I'd bought more.

He joined me on @every's AI & I to make the case for a SaaS resurgence—and to explain why chat-based tools are the wrong interface for design. We get into:

- Why running your own agents makes you more willing to pay for SaaS, not less
- How Figma's MCP server allows you to approach design work from two directions: Take a live web page and reconstruct it on the Figma canvas, or hand a Figma design over to an agent so it can makes changes via pull request
- The inherent limits of chat-based design, a format that isn’t equipped to generate lots of new ideas
-Why review is the next bottleneck, and potential solutions for helping teams scale evaluations

Watch below!

Timestamps
0:01:03 - Introduction
0:02:15 - The SaaSpocalypse narrative has it backwards
0:05:27 - Matt’s email-agent origin story
0:13:21 - Divergent vs. convergent design thinking
0:17:39 - Figma’s MCP server
0:19:45 - Why design agents need personalization
0:22:09 - Every problem is a context problem
0:25:12 - Apple and Google as the reigning kings of context
0:28:18 - Why review is the new bottleneck

[Every 📧 @every]

Get the full guide and agent prompts from @hammer_mt right here: https://t.co/ERUclUoe6r

[Every 📧 @every]

Ask your agent what level of AI adoption you're at.

[Every 📧 @every]

@lucas__crespo ❤️❤️❤️

[Trevin Chow @trevin]

I just asked Claude Code to read the @every article and rate me. I admit, this felt good to get this validation :)

[Katie Parrott @kplikethebird]

Subscribe to @every and come to Compound Engineering Camp on Friday if you want to see how @kieranklaassen has reached agent orchestration nirvana

[Kieran Klaassen @kieranklaassen]

I asked what level I am and apparently @hammer_mt forgot level 9 and 10.

[Katie Parrott @kplikethebird]

"Codex, where would you say I fall on @every's eight levels of AI adoption?" 👀

[Every 📧 @every]

Try @usemonologue for yourself:
https://t.co/GehBBiciMV

[Every 📧 @every]

Okay this is so cool ❤️

[Every 📧 @every]

@SlackHQ @danshipper @lennysan 🫡🫡🫡

[Dan Shipper 📧 @danshipper]

Almost a week later! What are your thoughts on Opus 4.8?

We were extremely bullish on it in testing—it seems the response was more tepid once y'all got your hands on it. If you disagreed with our take I'm curious why so we can tune our evaluations!

One theory I have is that by nature it pushes on your frame a little more, and the results are high-variance—sometimes it does something amazing, and sometimes it disagrees in a way that is obviously wrong.

But curious how you're feeling and what you're reaching for after a few days of testing

[Brandon Gell @bran_don_gell]

You: Executive or AI Consultant
Every: Releases the definitive guide on how to implement AI

You🤝Every

https://t.co/nuNWX89bwY

[Natalia @NataliaZarina]

Read the full exec playbook for implementing AI at your company here:

https://t.co/3rurM6G9XW

[Every 📧 @every]

Share our new compound engineering guide directly with your agent to apply this philosophy to your own work: https://t.co/zF5ErPfVZD

[Every 📧 @every]

Inside Every, improving our skills with compound engineering is how we do better work across engineering, GTM, operations, everything.

If you're spending your weekend building, follow these steps from @kieranklaassen and @trevin to level up.

[Brandon Gell @bran_don_gell]

It's been amazing to see how many new people have discovered Every in the last month. It's the best deal on the internet right now. $30/m gets you:

- all of @every's writing like our recent guide on how to use codex for knowledge work: https://t.co/NZidYqqz95
- access to our CAMPs and Events where you learn from the best builder and operators
- discounts to our courses keeping you at the edge of AI
- ALL OUR SOFTWARE:
→ https://t.co/tLYsnNkCq6
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it's a legit $1000 subscription for $30...

[Every 📧 @every]

@lennysan ❤️👋 https://t.co/ppbL0QSVG3